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DBMS > Apache Pinot vs. Brytlyt vs. Dragonfly vs. Snowflake

System Properties Comparison Apache Pinot vs. Brytlyt vs. Dragonfly vs. Snowflake

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBrytlyt  Xexclude from comparisonDragonfly  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitepinot.apache.orgbrytlyt.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.snowflake.com
Technical documentationdocs.pinot.apache.orgdocs.brytlyt.iowww.dragonflydb.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperApache Software Foundation and contributorsBrytlytDragonflyDB team and community contributorsSnowflake Computing Inc.
Initial release2015201620232014
Current release1.0.0, September 20235.0, August 20231.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linuxhosted
Data schemeyesyesscheme-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyesnoyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLLuauser defined functions
Triggersyespublish/subscribe channels provide some trigger functionalityno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardPassword-based authenticationUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
Apache PinotBrytlytDragonflySnowflake
DB-Engines blog posts

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Recent citations in the news

Real-Time Analytics for Mobile App Crashes using Apache Pinot
2 November 2023, Uber

Speed of Apache Pinot at the Cost of Cloud Object Storage with Tiered Storage
16 August 2023, InfoQ.com

StarTree Announces Integration between Apache Pinot and Delta Lake with StarTree Cloud
20 June 2023, Datanami

StarTree brings Apache Pinot real-time database to the cloud
22 March 2022, TechTarget

Data analytics startup StarTree secures cash to expand its Apache Pinot-powered platform
29 August 2022, TechCrunch

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Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

London data analytics startup Brytlyt raises €4.43M from Amsterdam-based Finch Capital, others
22 December 2021, Silicon Canals

Brytlyt Secures $4M in Series A Funding
20 May 2020, Datanami

Brytlyt becomes NVIDIA Inception Premier Partner
31 January 2023, PR Newswire

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
22 December 2021, EU-Startups

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DragonflyDB Announces $21m in New Funding and General Availability
21 March 2023, Business Wire

DragonflyDB reels in $21M for its speedy in-memory database
21 March 2023, SiliconANGLE News

DragonflyDB Raises $21M in Funding
21 March 2023, FinSMEs

Dragonfly 1.0 Released For What Claims To Be The World's Fastest In-Memory Data Store
20 March 2023, Phoronix

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29 March 2023, Phoronix

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Stream data into Snowflake using Amazon Data Firehose and Snowflake Snowpipe Streaming
17 April 2024, AWS Blog

Infosys at Snowflake Data Cloud Summit 2024
3 May 2024, Infosys

Snowflake Data Clean Rooms Democratize Secure Data Sharing Across Clouds
24 April 2024, Acceleration Economy

ZettaBlock Enhances Snowflake Data Share to Include Sui Blockchain Data
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